Recurrent routines: Analyzing and supporting orchestration in technology-enhanced primary classrooms

The increasing presence of multiple Information and Communication Technologies (ICT) in the classroom does not guarantee an improvement of the learning experiences of students, unless it is also accompanied by pedagogically effective orchestration of those technologies. In order to help teachers in this endeavour, it can be useful to understand how this orchestration takes place in real-world classrooms, and to provide teachers with professional development opportunities that can be easily applied to their everyday classroom practice. This paper describes a qualitative field study conducted in five primary school classrooms where a new collaborative software was introduced alongside existing classroom technology. For six months, teachers designed and orchestrated classroom activities in these authentic, technologically-rich settings. The analysis of the resulting activity designs and enactments uncovered a limited set of recurrent elements of teacher practice, or routines. These routines and their graphical representation are posited as a useful analysis tool for researchers in understanding complex teacher practices with ICT. Moreover, the authors propose that these routines offer new opportunities for professional development of teachers in effectively using ICT in their classrooms. Initial uses of these routines in teacher workshops, with encouraging results, are also presented.     

Where is the teacher? Digital analytics for classroom proxemics

The term Classroom Proxemics refers to how teachers and students use classroom space, and the impact of this and the spatial design on learning and teaching. This study addresses the divide between, on the one hand, substantial work on proxemics based on classroom observations and, on the other hand, emerging work to design automated feedback that helps teachers identify salient patterns in their use of the classroom space. This study documents how digital analytics were designed in service of a senior teacher's practice-based inquiry into classroom proxemics. Indoor positioning data from four teachers were analysed, visualized and used as evidence to compare three distinct learning designs enacted in a physics classroom. This study demonstrates how teachers can make effective use of such visualizations, to gain insight into their classroom practice. This is evidenced by (a) documenting teachers' reflections on visualizations of positioning data, both their own and that of peers and (b) identifying the types of indicator (operationalized as analytical metrics) that foreground the most useful information for teachers to gain insight into their practice.     

Short answers to deep questions: supporting teachers in large‐class settings

In large class settings, individualized student–teacher interaction is difficult. However, teaching interactions (e.g., formative feedback) are central to encouraging deep approaches to learning. While there has been progress in automatic short‐answer grading, analysing student responses to support formative feedback at scale is arguably some way from being widely applied in practice. However, analysing student written responses can provide insights into student conceptions, thus directly informing teacher actions. Indeed, we argue that analysing student responses to provide feedback directly to teachers is as worthy a goal as providing individualized feedback to students and is achievable given the current state‐of‐the‐art in natural language processing. In this paper, we analyse student written responses to short‐answer questions posed in the context of a large first year health sciences course. Each question was designed to elicit deep responses. Our qualitative analysis illustrates the variability in student responses and reveals multiple relationships between these responses, course materials and the questions posed. Such information can be invaluable for teacher praxis. We conclude with a conceptual ‘dashboard’ that categorizes student responses and reveals relationships between responses, course resources and the questions. Such a dashboard could provide timely, actionable insights for teachers and help foster deep learning approaches for students.     

Analytics of time management strategies in a flipped classroom

This paper aims to explore time management strategies followed by students in a flipped classroom through the analysis of trace data. Specifically, an exploratory study was conducted on the dataset collected in three consecutive offerings of an undergraduate computer engineering course (N = 1,134). Trace data about activities were initially coded for the timeliness of activity completion. Such data were then analysed using agglomerative hierarchical clustering based on Ward's algorithm, first order Markov chains, and inferential statistics to (a) detect time management tactics and strategies from students' learning activities and (b) analyse the effects of personalized analytics-based feedback on time management. The results indicate that meaningful and theoretically relevant time management patterns can be detected from trace data as manifestations of students' tactics and strategies. The study also showed that time management tactics had significant associations with academic performance and were associated with different interventions in personalized analytics-based feedback.     

Transforming teaching and learning: embedding ICT into everyday classroom practices

Drawing on socio‐cultural theory, this paper describes how teams of teachers and researchers have developed ways of embedding information and communications technology (ICT) into everyday classroom practices to enhance learning. The focus is on teaching and learning across a range of subjects: English, history, geography, mathematics, modern foreign languages, music and science. The influence of young people's out‐of‐school uses of ICT on in‐school learning is discussed. The creative tension between idiosyncratic and institutional knowledge construction is emphasised and we argue that this is exacerbated by the use of ICT in the classroom.     

Supervised machine learning in multimodal learning analytics for estimating success in project‐based learning

Multimodal learning analytics provides researchers new tools and techniques to capture different types of data from complex learning activities in dynamic learning environments. This paper investigates the use of diverse sensors, including computer vision, user‐generated content, and data from the learning objects (physical computing components), to record high‐fidelity synchronised multimodal recordings of small groups of learners interacting. We processed and extracted different aspects of the students' interactions to answer the following question: Which features of student group work are good predictors of team success in open‐ended tasks with physical computing? To answer this question, we have explored different supervised machine learning approaches (traditional and deep learning techniques) to analyse the data coming from multiple sources. The results illustrate that state‐of‐the‐art computational techniques can be used to generate insights into the "black box" of learning in students' project‐based activities. The features identified from the analysis show that distance between learners' hands and faces is a strong predictor of students' artefact quality, which can indicate the value of student collaboration. Our research shows that new and promising approaches such as neural networks, and more traditional regression approaches can both be used to classify multimodal learning analytics data, and both have advantages and disadvantages depending on the research questions and contexts being investigated. The work presented here is a significant contribution towards developing techniques to automatically identify the key aspects of students success in project‐based learning environments, and to ultimately help teachers provide appropriate and timely support to students in these fundamental aspects.     

回归课堂的程序设计课程教学设计

当前,程序设计相关课程的重点向实践偏移,但是一些老师在重视实践的同时,却忽视了课堂教育。笔者认为,课堂教学是大学教育的基础,不能被课外实践所取代,在重视实践的基础上,应让程序设计课回归课堂。如何通过课堂教学,让学生学懂、学会、学活,是需要任课老师进行持之以恒的研究。从知识体系、知识边界、讲授逻辑、教学技巧、原创思维、使用能力等多个角度分析了课堂教学研究的核心要义,并以程序设计课程为案例展示了回归课堂教学的效果。     

The impact of a technology-based mathematics after-school program using ALEKS on student's knowledge and behaviors

The effectiveness of using the Assessment and LEarning in Knowledge Spaces (ALEKS) system, an Intelligent Tutoring System for mathematics, as a method of strategic intervention in after-school settings to improve the mathematical skills of struggling students was examined using a randomized experimental design with two groups. As part of a 25-week program, student volunteers were randomly assigned to either a teacher-led classroom or a classroom in which students interacted with ALEKS while teachers were present. Student's math performance, conduct, involvement, and assistance was needed to complete tasks were investigated to determine overall impact of the two programs. Students assigned to the ALEKS classrooms performed at the same level as students taught by expert teachers on the Tennessee Comprehensive Assessment Program (TCAP), which is given annually to all Tennessee students. Furthermore, student's conduct and involvement remained at the same levels in both conditions. However, students in the ALEKS after-school classrooms required significantly less assistance in mathematics from teachers to complete their daily work.     

The effect of netbook ownership on children's academic achievement in mathematics,reading, and writing

How computers in schools impact on children's learning has been studied through research that explores student achievement at one point in time or by comparing different classroom contexts with differing results. The introduction of an optional netbook purchasing scheme for children in a low socio‐economic community provided an opportunity to compare the academic improvement for those who joined the scheme with those who did not with both groups learning within the same context with the same teachers. Using nationally calibrated assessment tools that test reading, writing, and mathematical skill progression, the student achievement data from six schools across a 2‐year period were analysed using chi‐square testing, regression analysis, propensity score matching, and cumulative logit modelling. The results identified few significant differences between the students in most aspects of achievement and no significant difference in academic improvement between the two groups.     

Scaffolding problem solving in technology-enhanced learning environments (TELEs): Bridging research and theory with practice

With the expanding availability and capability of varied technologies, classroom-based problem solving has become an increasingly attainable, yet still elusive, goal. Evidence of technology-enhanced problem-solving teaching and learning in schools has been scarce, understanding how to support students’ problem solving in classroom-based, technology-enhanced learning environments has been limited, and coherent frameworks to guide implementation have been slow to emerge. Whereas researchers have examined the use and impact of scaffolds in mathematics, science, and reading, comparatively little research has focused on scaffolding learning in real-world, everyday classroom settings. Web-based systems have been developed to support problem solving, but implementations suggest variable enactment and inconsistent impact. The purpose of this article is to identify critical issues in scaffolding students’ technology-enhanced problem solving in everyday classrooms. First, we examine two key constructs (problem solving and scaffolding) and propose a framework that includes essential dimensions to be considered when teachers scaffold student problem solving in technology-rich classes. We then investigate issues related to peer-, teacher-, and technology-enhanced scaffolds, and conclude by examining implications for research.     

Vocational education approach: New TEL settings—new prospects for teachers’ instructional activities?

This study focuses on vocational education teachers’ instructional activities in a new technology-enhanced learning (TEL) setting. A content analysis is applied to investigate teachers’ and students’ interactions in a 3D game context. The findings illustrate that when teachers’ and students’ interactions are mediated by a game, teachers seem to apply different discussion activities to empower vocational learning than they do in traditional classroom settings. Additionally, the present study shows that teachers spontaneously develop new ways of supporting vocational learning processes. In more detail, two main types of instructional activities were identified: a “knowledge-providing” approach and a “joint problem-solving” approach. Additionally, findings illustrate how teachers using different types of instructional approaches are followed up with different processes by students. The article is concluded with a general discussion of the emerging challenges regarding the technological and pedagogical development of vocational education and teachers’ instructional activities in new TEL settings based on a more long-term design-based research project (ongoing since 2004).     

Embodiment analytics of practicing teachers in a virtual immersive environment

Interactive training environments typically include feedback mechanisms designed to help trainees improve their performance through either guided or self‐reflection. In this context, trainees are candidate teachers who need to hone their social skills for their future classroom. We chose an interactive virtual training system as the basic research environment to investigate the embodiment of the trainees. Using tracking sensors and improvements for existing gesture recognition utilities, we created a gesture database and used it for the implementation of our real‐time feedback application. We also investigated multiple modalities of feedback including visual and haptics. This paper describes the context in which the utilities have been developed, the importance of recognizing nonverbal communication in the teaching context, the means of providing automated feedback associated with nonverbal messaging, and a series of preliminary studies developed to inform the research. Results from the conducted studies indicate the positive impact of the proposed feedback application.     

The teacher's responsibility in whole‐class debriefing of mathematical activity

Abstract

Prompted by recent moves in the United Kingdom to guide teachers’ practices in whole‐class, direct interactive teaching, in this article, we offer an opportunity for North American mathematics educators to reflect on possibilities for whole‐class teaching of mathematics. We focus particularly on the plenary aspect of lessons—what might be considered the debriefing of mathematical activity—and specifically on the teacher's responsibility during those sessions, both to his or her students and to the authenticity of the discipline of mathematics. Drawing on data from a Grade‐3 classroom and invoking complexity science as a theoretical lens to explore the classroom as a complex learning system, we present implications for teaching in whole‐class debriefings of mathematical activity.     

Predicting ICT integration into classroom teaching in Chinese primary schools: exploring the complex interplay of teacher‐related variables

Available research has explored a wide variety of factors influencing information and communication technologies (ICT) adoption and integration in classroom teaching; however, existing research seldom centre on the combined impact of these variables. In addition, the little research available is set up in the Chinese context. The latter is important given that the different cultural context in which the interplay between teacher beliefs and educational practices has only been documented quiet little. The present study centres on the complex interplay of a number of internal teacher variables to explain ICT classroom integration. These variables comprise ‘teachers’ constructivist teaching beliefs’, ‘teacher attitudes towards computers in education’, ‘teachers’ computer motivation’, ‘teacher perception of ICT‐related policy’. A survey was set up, involving 820 Chinese primary school teachers. Path modeling was used to explore the direct and indirect effects of the teacher‐related variables on their level of ICT classroom integration. Firstly, two distinctive types of ICT use can be distinguished in the Chinese context: (a) teacher supportive use of ICT that refers to the use of ICT for e.g. student administration, preparing worksheets, developing evaluation activities; and (b) classroom use of ICT to support and enhance the actual teaching and learning process. The results show that classroom use of ICT directly depends on teachers' computer motivation and the supportive use of ICT. Teachers' constructivist beliefs, their attitudes towards computers in education and perceptions about the ICT‐related school policy influence ICT integration in an indirect way. The results demonstrate how the complex interplay between teacher‐related variables and ICT integration in the classroom is partly in line with findings in non‐Asian contexts. A number of differences can be explained by the particular Chinese context. In particular an indirect relationship was found between teachers' constructivist beliefs and their level of ICT integration.     

AFEW-VA database for valence and arousal estimation in-the-wild

Continuous dimensional models of human affect, such as those based on valence and arousal, have been shown to be more accurate in describing a broad range of spontaneous, everyday emotions than the more traditional models of discrete stereotypical emotion categories (e.g. happiness, surprise). However, most prior work on estimating valence and arousal considered only laboratory settings and acted data. It is unclear whether the findings of these studies also hold when the methodologies proposed in these works are tested on data collected in-the-wild. In this paper we investigate this. We propose a new dataset of highly accurate per-frame annotations of valence and arousal for 600 challenging video clips extracted from feature films (also used in part for the AFEW dataset). For each video clip, we further provide per-frame annotations of 68 facial landmarks. We subsequently evaluate a number of common baseline and state-of-the-art methods on both a commonly used laboratory recording dataset (Semaine database) and the newly proposed recording set (AFEW-VA). Our results show that geometric features perform well independently of the settings. However, as expected, methods that perform well on constrained data do not necessarily generalise to uncontrolled data and vice-versa.     

Mathematical Challenge in the Eyes of the Beholder: Mathematics Teachers’ Views

Abstract

This study is based on our belief that mathematics should be challenging in any classroom and that mathematical challenge is among the central factors that determine the quality of mathematics lessons. Choosing challenging mathematical problem for the students is central in teachers’ work while their conception of mathematical challenge can determine the quality of a mathematics lesson. At the same time, little is known about teachers’ views on mathematical challenge. Thus, we explored conceptions of mathematical challenge in two groups of experienced mathematics teachers. The first group (N₁ = 9) was asked to define the notion of mathematical challenge and give examples of challenging mathematical tasks. Later the members of the group discussed these examples and definitions. A written response questionnaire was administered to a second group of teachers (N₂ = 41) based on answers given by teachers in the first group. We found that the teachers have a broad conception of mathematical challenge and appreciate the relativity of mathematical challenge but are not always convinced that it is possible to incorporate challenging mathematics in everyday teaching in the classroom.     

Wireless and mobile technologies to enhance teaching and learning

Abstract This research aims to build a Wireless Technology Enhanced Classroom (WiTEC) that supports everyday activities unobtrusively and seamlessly in classroom contexts. This paper describes the integration of wireless LAN, wireless mobile learning devices, an electronic whiteboard, an interactive classroom server, and a resource and class management server to build the WiTEC. This contains a number of features that can support class members in various types of teaching and learning activities. Project-based learning is taken as a scenario to elaborate how teachers and students can engage in teaching and learning via WiTEC. Finally, a number of suggestions are discussed for further study.     

Cracking her codes: understanding shared technology resources as positioning artifacts for power and status in CSCL environments

There is a positive relationship between student participation in computer-supported collaborative learning (CSCL) environments and improved complex problem-solving strategies, increased learning gains, higher engagement in the thinking of their peers, and an enthusiastic disposition toward groupwork. However, student participation varies from group to group, even in contexts where students and teachers have had extensive training in working together. In this study, we use positioning theory and interaction analysis to conceptualize and investigate relationships between student interactions across two partner pairs working with technology in an all-female cryptography summer camp and their negotiated positions of power and status. The analysis resulted in uneven participation patterns, unequal status orderings, and an imbalance of power in both comparison cases. We found a reflexive relationship between partner interactions around shared technology resources and negotiated positions of power and status, which leads us to conclude that interactions around technology function as an important indicator of negotiated positionings of power and status in CSCL settings, and vice-versa. With that said, we found qualitative differences in the ways emergent status problems impacted each team’s productivity with the cryptography challenge, which has important implications for future research on CSCL settings and classroom practice.     

Interactive video technology: Enhancing professional learning in initial teacher education

The University of Sussex In-School Teacher Education Project (InSTEP) uses interactive video technologies to enhance initial teacher education programmes for science trainee teachers. With four Internet Protocol cameras and mounted microphones in both school laboratories and the university teaching room, trainees and their tutors have access to live interaction with schools. This paper presents some of the findings of a 2 year evaluation of InSTEP aimed at identifying the benefits for trainee teachers. There has been an increase in the use of video material for teacher training purposes, however, trainee teachers are often intimidated by carefully selected extracts featuring experienced teachers. InSTEP activities are live and capitalise on all the opportunities associated with normal classroom practice. Literature points to InSTEP-type activities having the potential to enhance the development of trainees’ observation skills, develop reflective thinking, to provide authentic illustrations of classroom practice, enable remote observation and facilitate the coaching of trainees by mentors. A fourth generation model of evaluation was undertaken with data generated by semi-structured interviews with university tutors and mentors supported by a questionnaire and group interviews with the trainees. Our main findings point to InSTEP enhancing and accelerating the growth of trainee teachers’ professional knowledge through enabling reflective practice, facilitating collaborative learning and supporting the development of the language of pedagogy.